计及关键负荷功能恢复需求的韧性城市配电网恢复方法

doi:10.12204/j.issn.1000-7229.2022.08.007

电力建设 ›› 2022, Vol. 43 ›› Issue (8): 66-75.doi: 10.12204/j.issn.1000-7229.2022.08.007

• 新型电力系统下配电网规划与运行优化关键技术研究及应用·栏目主持王守相教授、赵倩宇博士· • 上一篇下一篇

计及关键负荷功能恢复需求的韧性城市配电网恢复方法

刘家妤¹, 沈冰¹, 周健¹, 杜洋¹, 冯煜尧¹, 唐敏¹, 陈韵含², 李佳旭²(), 王颖²

1.国网上海市电力公司电力科学研究院,上海市 200437
2.北京交通大学电气工程学院, 北京市 100044

收稿日期:2021-12-17 出版日期:2022-08-01 发布日期:2022-07-27
作者简介:刘家妤(1986),女,硕士,高级工程师,主要研究方向为韧性电网、电气设备状态监测与故障诊断、现场特殊试验、超导电缆技术研究与应用等
沈冰(1979),男,博士,高级工程师,主要研究方向为电力系统控制保护技术等
周健(1974),男,硕士,高级工程师,主要研究方向为韧性电网、电力系统自动化、电能质量等
杜洋(1986),男,硕士,高级工程师,主要研究方向为韧性电网、城市电网优化运行、虚拟电厂等
冯煜尧(1983),男,硕士,高级工程师,主要研究方向为电力系统运行与控制
唐敏(1986),女,本科,助理工程师,主要研究方向为韧性电网、供电可靠性等
陈韵含(1999),女,硕士研究生,主要研究方向为配电网故障恢复,电力-交通融合系统韧性提升等
李佳旭(1994),男,博士研究生,主要研究方向为韧性电网、配电网故障恢复等,E-mail: lijiaxu@bjtu.edu.cn
王颖(1992),女,博士,讲师,主要研究方向为韧性电网、配电网故障恢复、电力-交通融合系统韧性提升等。
基金资助:
国网上海市电力公司科技项目资助(52094020005Q)

Distribution System Restoration Method Considering the Function Restoration Requirements of Critical Loads

LIU Jiayu¹, SHEN Bing¹, ZHOU Jian¹, DU Yang¹, FENG Yuyao¹, TANG Min¹, CHEN Yunhan², LI Jiaxu²(), WANG Ying²

1. State Grid Shanghai Municipal Electric Power Company Research Institute, Shanghai 200437, China
2. School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China

Received:2021-12-17 Online:2022-08-01 Published:2022-07-27
Supported by:
Science and Technology Program of State Grid Shanghai Electrical Power Company(52094020005Q)

摘要/Abstract

摘要：

大停电后,利用城市配电网本地分布式电源快速恢复重要负荷,是减小停电损失、提升电网韧性的有效方法。城市中既存在需要电、水、气等各类资源共同支撑才可实现正常运转的终端用户负荷,也有如交通灯、水泵等关键基础设施负荷,且电网、用户负荷、关键基础设施负荷之间存在密切的耦合关系,需要在恢复决策时予以考虑。提出了一种计及关键负荷功能恢复需求的多时段配电网故障恢复方法。在荷侧,考虑了用户负荷功能对于电、水、气资源的需求及交通负荷用电需求;在网侧,考虑了电网、水网、气网的运行约束;在源侧,考虑了可移动发电资源接入灵活和本地发电资源能量有限的特点。算例测试结果表明,所提方法可最大化恢复多类型负荷的社会功能,实现有限发电资源的最优分配。

关键词: 韧性, 配电网故障恢复, 用户功能, 恢复需求

Abstract:

After a major power outage, using the local distributed generators of the urban distribution system to restore critical loads is an effective method to mitigate outage and improve the resilience. The loads in urban power grid include the customer loads that can only be functioned with the joint support of various resources such as electricity, water and gas, as well as the critical infrastructure loads such as traffic lights and water pumps. Besides, there exists closed interdependency among power grid, customer loads, and critical infrastructure loads. In this paper, a multi-period restoration method for distribution system critical loads considering the load function requirements is proposed. On the load side, the power, water, and gas demand of customer loads and the power demand of traffic loads are considered. On the grid side, the operation constraints of power distribution system, water network, and gas network are considered. On the source side, the flexible access of mobile resources and limited resources of local distributed generators are considered. The results of case studies show that the proposed method can maximize the social function of various loads and realize the optimal allocation of limited generation resources.

Key words: resilience, distribution system restoration, customer function, restoration requirement

中图分类号:

TM615

刘家妤, 沈冰, 周健, 杜洋, 冯煜尧, 唐敏, 陈韵含, 李佳旭, 王颖. 计及关键负荷功能恢复需求的韧性城市配电网恢复方法[J]. 电力建设, 2022, 43(8): 66-75.

LIU Jiayu, SHEN Bing, ZHOU Jian, DU Yang, FENG Yuyao, TANG Min, CHEN Yunhan, LI Jiaxu, WANG Ying. Distribution System Restoration Method Considering the Function Restoration Requirements of Critical Loads[J]. ELECTRIC POWER CONSTRUCTION, 2022, 43(8): 66-75.

图/表 11

图1 电-水-气耦合系统

Fig.1 The electricity-water-gas integrated system

图2 算法流程

Fig.2 Algorithm flowchart

图3 电水气系统拓扑

Fig.3 Topology of electricity-water-gas integrated system

表1 水泵和压缩机参数

Table 1 Parameters of water pumps and gas compressors

表2 微型燃气轮机参数

Table 2 Parameters of DGs

表3 可移动发电车参数

Table 3 Parameters of MPSs

图4 各时段负荷恢复数目

Fig.4 Number of restored loads

图5 各时段电能分配情况

Fig.5 Distribution of electricity energy

图6 各时段电源出力情况

Fig.6 Outputs of DGs and MPSs

表4 不同恢复策略结果对比

Table 4 Result comparison for different restoration strategies

图7 不同恢复策略电能分配对比

Fig.7 Comparison of the distribution of electricity for different restoration strategies

参考文献 24

[1]	中共北京市委, 北京市人民政府. 北京城市总体规划(2016年—2035年)[Z]. 北京: 2017-9-29.
[2]	孙建平. 上海城市运行安全发展报告-2019-2020[M]. 上海: 同济大学出版社, 2021.
[3]	阮前途, 谢伟, 许寅, 等. 韧性电网的概念与关键特征[J]. 中国电机工程学报, 2020, 40(21): 6773-6784.
	RUAN Qiantu, XIE Wei, XU Yin, et al. Concept and key features of resilient power grids[J]. Proceedings of the CSEE, 2020, 40(21): 6773-6784.
[4]	高鑫, 唐飞, 张童彦, 等. 配电网防风抗灾加固措施优化决策方法[J]. 发电技术, 2021, 42(1): 78-85.
	GAO Xin, TANG Fei, ZHANG Tongyan, et al. Optimal decision-making method of wind-proof and disaster-resistant reinforcement measures for distribution network[J]. Power Generation Technology, 2021, 42(1): 78-85.
[5]	马晨霄, 刘洋, 许立雄, 等. 同时考虑孤岛与重构的配电网故障恢复运行策略[J]. 电力建设, 2018, 39(8): 128-136.
	MA Chenxiao, LIU Yang, XU Lixiong, et al. Fault recovery operation strategy for distribution network coordinating islanding and reconfiguration[J]. Electric Power Construction, 2018, 39(8): 128-136.
[6]	GE Leijiao, XIAN Yiming, WANG Zhongguan, et al. Short-term load forecasting of regional distribution network based on generalized regression neural network optimized by grey wolf optimization algorithm[J]. CSEE Journal of Power and Energy Systems, 2021, 7(5): 1093-1101.
[7]	GORDO E, CAMPOS A, COELHO D. Energy efficiency in a hospital building case study: Hospitais da universidade de Coimbra[C]// Proceedings of the 2011 3rd International Youth Conference on Energetics (IYCE). Leiria, Portugal: IEEE, 2011: 1-6.
[8]	SINGH M K, KEKATOS V. Optimal scheduling of water distribution systems[J]. IEEE Transactions on Control of Network Systems, 2020, 7(2): 711-723. doi: 10.1109/TCNS.2019.2939651 URL
[9]	SINGH M K, KEKATOS V. Natural gas flow solvers using convex relaxation[J]. IEEE Transactions on Control of Network Systems, 2020, 7(3): 1283-1295. doi: 10.1109/TCNS.2020.2972593 URL
[10]	王颖, 和敬涵, 王小君, 等. 配电网多时段在线恢复决策问题的两阶段求解算法[J]. 电力系统自动化, 2021, 45(3): 121-129.
	WANG Ying, HE Jinghan, WANG Xiaojun, et al. Two-stage solving algorithm for online decision-making on multi-period distribution network restoration[J]. Automation of Electric Power Systems, 2021, 45(3): 121-129.
[11]	陈春, 吴宜桐, 李锰, 等. 基于网络拓扑有向遍历的配电网故障快速恢复方法[J]. 电力系统自动化, 2021, 45(7): 44-52.
	CHEN Chun, WU Yitong, LI Meng, et al. Method for fast recovery from distribution network fault based on directed traversal of network topology[J]. Automation of Electric Power Systems, 2021, 45(7): 44-52.
[12]	许寅, 王颖, 和敬涵, 等. 多源协同的配电网多时段负荷恢复优化决策方法[J]. 电力系统自动化, 2020, 44(2): 123-131.
	XU Yin, WANG Ying, HE Jinghan, et al. Optimal decision-making method for multi-period load restoration in distribution network with coordination of multiple sources[J]. Automation of Electric Power Systems, 2020, 44(2): 123-131.
[13]	AHMADI H, ALSUBAIE A, MARTÍ J R. Distribution system restoration considering critical infrastructures interdependencies[C]// 2014 IEEE PES General Meeting \| Conference & Exposition. National Harbor, MD, USA: IEEE, 2014: 1-5.
[14]	陈玮, 丁筱, 施云辉, 等. 考虑双向耦合的电-气综合能源系统时序故障恢复方法[J]. 电力自动化设备, 2019, 39(8): 86-94.
	CHEN Wei, DING Xiao, SHI Yunhui, et al. Sequential fault restoration method for electricity-gas integrated energy system considering two-way coupling[J]. Electric Power Automation Equipment, 2019, 39(8): 86-94.
[15]	LIN Y L, CHEN B, WANG J H, et al. A combined repair crew dispatch problem for resilient electric and natural gas system considering reconfiguration and DG islanding[J]. IEEE Transactions on Power Systems, 2019, 34(4): 2755-2767. doi: 10.1109/TPWRS.2019.2895198 URL
[16]	刘家权, 刘珅, 周金涛, 等. 基于鲁棒优化的电-气互联型主动配电网故障恢复方法[J]. 电力系统保护与控制, 2021, 49(7): 66-74.
	LIU Jiaquan, LIU Shen, ZHOU Jintao, et al. Fault recovery method of an integrated electricity and natural-gas active distribution network based on robust optimization[J]. Power System Protection and Control, 2021, 49(7): 66-74.
[17]	LV C X, YU H, LI P, et al. Coordinated operation and planning of integrated electricity and gas community energy system with enhanced operational resilience[J]. IEEE Access, 2020, 8: 59257-59277. doi: 10.1109/ACCESS.2020.2982412 URL
[18]	李穆寅, 曹志远, 李佳旭, 等. 计及供电-供水系统耦合关系的配电网故障恢复优化决策方法[J]. 电力建设, 2021, 42(3): 54-60.
	LI Muyin, CAO Zhiyuan, LI Jiaxu, et al. Optimization decision-making method for distribution system restoration considering the interdependency between power and water distribution systems[J]. Electric Power Construction, 2021, 42(3): 54-60.
[19]	ALKHALEEL B A, LIAO H T, SULLIVAN K M. Model and solution method for mean-risk cost-based post-disruption restoration of interdependent critical infrastructure networks[J]. Computers & Operations Research, 2022, 144: 105812. doi: 10.1016/j.cor.2022.105812 URL
[20]	高天乐, 李佳旭, 王颖, 等. 计及负荷侧关键基础设施耦合性的配电网恢复优化决策方法[J]. 电力建设, 2019, 40(12): 38-44.
	GAO Tianle, LI Jiaxu, WANG Ying, et al. Optimization decision-making method for distribution network restoration considering the interdependency of critical infrastructure on load side[J]. Electric Power Construction, 2019, 40(12): 38-44.
[21]	LI J X, XU Y, WANG Y, et al. Resilience-motivated distribution system restoration considering electricity-water-gas interdependency[J]. IEEE Transactions on Smart Grid, 2021, 12(6): 4799-4812. doi: 10.1109/TSG.2021.3105234 URL
[22]	SCHNEIDER K P, MATHER B A, PAL B C, et al. Analytic considerations and design basis for the IEEE distribution test feeders[J]. IEEE Transactions on Power Systems, 2018, 33(3): 3181-3188. doi: 10.1109/TPWRS.2017.2760011 URL
[23]	OIKONOMOU K, PARVANIA M. Optimal coordination of water distribution energy flexibility with power systems operation[J]. IEEE Transactions on Smart Grid, 2019, 10(1): 1101-1110. doi: 10.1109/TSG.2018.2824308 URL
[24]	许寅, 和敬涵, 王颖, 等. 韧性背景下的配网故障恢复研究综述及展望[J]. 电工技术学报, 2019, 34(16): 3416-3429.
	XU Yin, HE Jinghan, WANG Ying, et al. A review on distribution system restoration for resilience enhancement[J]. Transactions of China Electrotechnical Society, 2019, 34(16): 3416-3429.

计及关键负荷功能恢复需求的韧性城市配电网恢复方法

Distribution System Restoration Method Considering the Function Restoration Requirements of Critical Loads

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